Since identification, instrumental variables and variables exclusion, core concepts in econometrics, are entwined …, several questions arise: How is identification related to the existence of IVs? How are identification criteria related to …

well as an instrument set for the former is considered. Procedures for identification, operating on moments up to a certain … latent regressor. Simple order-conditions are derived, and procedures involving recursive identification of the moments of … Method of Moments (GMM) algorithm involving the instruments and proceeding stepwise from the identification procedures, is …

, such as a regression function, and treating it as a conditional expectation is central to its identification and estimation … identification related properties of this model when the unknown function mu* belongs to a linear space. We also investigate … underidentification of mu* along with the identification of its linear functionals. Several examples are provided in order to develop …

control variables to correct for endogeneity, nonparametric identification of treatment effects requires strong support … conditions for identification of average treatment effects. A sufficient condition for identification is conditional …- and non-parametric identification into a common framework. …

the use of instrumental variables and discuss conditions under which partial and point identification are obtained. We … update the identification results of Chernozhukov and Hansen (2005). We illustrate the modelling assumptions through …

This paper examines three distinct hypothesis testing problems that arise in the context of identification of some … identification in some nonparametric models with endogeneity involving mean independence restrictions. These conditions are typically … identification directly in some nonparametric models with endogeneity involving quantile independence restrictions. For each of these …